New sesquiterpenoids with anti-inflammatory effects from phytopathogenic fungus Bipolaris sorokiniana 11134
Bibliographic record
Abstract
Sesquiterpenoids represent a structurally diverse class of natural products widely recognized for their ecological significance and pharmacological potential, including antimicrobial, anti-inflammatory, and anticancer properties. As part of our efforts to explore bioactive secondary metabolites from phytopathogenic fungi, we conducted a molecular networking-based analysis of Bipolaris sorokiniana isolate BS11134, which was fermented on a rice medium. This analysis led to the identification of three new seco-sativene-type sesquiterpenoids (1-3) and seven known analogues (4-10), with the NMR data of compound 4 being reported for the first time. The structures of these compounds were elucidated using HR-ESI-MS and extensive spectroscopic data analysis. Notably, compound 9 significantly inhibited nitrous oxide expression in lipopolysaccharide (LPS)-treated RAW264.7 cells in vitro (inhibition rate: 84.7 ± 1.7% at 10 μM), while compound 1 (10 μM) showed a weak inhibitory effect (inhibition rate = 28.0 ± 2.4%). Additionally, we proposed a biosynthetic pathway for these compounds. This study not only expands the chemical space of the helminthoporene class of molecules but also underscores the untapped potential of phytopathogenic fungi as promising sources of structurally unique and biologically active natural products.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".